Manager, AI Solutions & Analytics
New
P
Plus PowerEnergy Storage
RemoteFull-TimeManager
SalaryThe expected salary range* for this position begins at $120,000. This position is also eligible to participate in our annual bonus program.
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Job Details
- Experience
- 6-10 years
- Required Skills
- PythonSQLArtificial IntelligenceBusiness IntelligenceData science
Requirements
- Minimum BA/BS in economics, data science, computer science, business, or related field.
- 6-10 years of experience in analytics, business intelligence, automation, technology, or data-focused roles.
- Experience building agentic AI solutions, including designing/deploying agents, orchestrating workflows, and human-in-the-loop controls.
- Experience driving adoption of new technologies in a cross-functional environment.
- Experience translating ambiguous business problems into practical workflows.
- Experience establishing governance, standards, and guardrails for AI or analytics workflows.
- Advanced experience with enterprise AI platforms including Microsoft Copilot Studio, Perplexity AI, and Claude.
- Advanced experience with modern data and analytics platforms including Microsoft Fabric, Azure Databricks, AWS, and Snowflake.
- Advanced experience with SQL, Python, or other data analysis tools.
- Strong change management and stakeholder engagement skills.
- Excellent communication and interpersonal skills.
- Prior experience in energy is preferred.
Responsibilities
- Drive implementation of Plus Power’s AI operating model by building organizational capability, supporting adoption, and enabling responsible use of AI.
- Build organizational capability for AI through training, guidance, reusable patterns, and practical support.
- Define and reinforce AI standards, guardrails, and usage patterns to promote consistency and quality.
- Partner with cross-functional stakeholders to prioritize and implement AI opportunities with meaningful business impact.
- Design and support AI-enabled solutions, including copilots, agents, and human-in-the-loop processes.
- Facilitate the transition from experimentation to scale by standardizing proven approaches and embedding solutions into business processes.
- Contribute to analytics, reporting, and operational intelligence initiatives, measuring AI adoption and business impact.
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